# pingers v0.1.1

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To assist you with troubleshooting internet connection issues and assist in isolating packet loss on your network. It does this by allowing you to retrieve the top trace route destinations your internet provider uses, and recursively ping each server in series while capturing the results and writing them to a log file. Each iteration it queries the destinations again, before shuffling the sequence of destinations to ensure the analysis is unbiased and consistent across each trace route.

# pingers

## Overview

The goal of pingers is to assist you with troubleshooting internet connection issues and assist in isolating packet loss on your network.

It does this by allowing you to retrieve the top trace route destinations your internet provider uses, and recursively ping each server in sequence while capturing the results and writing them to a log file. Each iteration it queries the destinations again, before shuffling the sequence of destinations to ensure the analysis is unbiased and consistent across each trace route.

## Installation

# Install through CRAN
install.packages("pingers")

# Or the development version from GitHub
# install.packages("devtools")
devtools::install_github("jessevent/pingers")


## Usage

The below showcases the main functions of the pingers package.

These functions will:

• Retrieve hops between ISP destinations on your network
• Ping a destination repeatedly and calculate packet loss
• Repeat pinging the destinations to isolate and locate troublesome destinations
• Shuffle the destinations in each iteration as to not be only testing for one path
# Install pingers from GitHub
# devtools::install_github("jessevent/pinger")
library(pingers)

# Retrieve top n traceroute results in your call stack
destinations <- get_destinations(top_n = 9)

# Ping the first result of destinations 50 times
ping_results <- ping_capture(destinations\$ip[1], 50)

# File and path of where to save the network log
log_path     <- "~/Desktop/netlogs/network_logs.csv"

# Start recursively capturing network logs until cancelled or interupted.
# capture_logs(destinations = 3, pings = 10, log_path = log, sleep = 20)


Use Ctrl + C to stop capturing logs, or the Stop button in RStudio.

## Output

The network_log.csv file will contain the following:

timestamp server packets_sent packets_back packet_loss packets_lost ping_min ping_avg ping_max ping_stddev call_sequence
2018-07-22T15:29:31.34Z 10.0.0.000 10 10 0 0 2.093 3.534 8.826 1.965 1
2018-07-22T15:29:40.48Z 10.0.0.001 10 10 0 0 2.697 3.948 8.649 1.667 2
2018-07-22T15:29:49.50Z 10.0.0.002 10 9 10 11.1 3.366 5.083 8.163 1.381 3
2018-07-22T15:29:58.53Z 10.0.0.003 7

## Functions in pingers

 Name Description shuffle Shuffle dataframe rows randomely ping_capture Ping Server pingers_heatmap Packet Loss Heatmap capture_logs Capture ISP network logs get_destinations Get ISP destinations No Results!